Search Results for "resampling"
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Showing 36 open source projects for "resampling"
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Statistics101 - Resampling Statistics
Use simulation to perform statistical analyses.
Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon (https://www.juliansimon.com/) and Peter Bruce (https://www.scientificamerican.com/author/peter-bruce/) as a new way to teach Statistics to social science students. -
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mlr3
mlr3: Machine Learning in R - next generation
mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via... -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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sharp
High performance Node.js image processing module
...Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. ... -
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caret
caret (Classification And Regression Training) R package
The caret (Classification And Regression Training) R package streamlines the process of building predictive machine learning models. It provides uniform interfaces for model training, tuning, evaluation, preprocessing, and variable importance. With support for over 200 models, caret is foundational for R workflows in modeling and machine learning. -
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EEGLAB
EEGLAB is an open source signal processing environment
EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command... -
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Sherloq
An open source digital image forensic toolset
Sherloq is a research-oriented toolkit designed for digital image forensics, providing an integrated environment to experiment with algorithms for image analysis and tampering detection. Rather than functioning as an automated decision-making system, it serves as a companion tool for researchers, enthusiasts, and students who want to explore forensic techniques from scientific literature and workshops. The project emphasizes transparency and community collaboration, contrasting with... -
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EasyRPG Player
RPG Maker 2000/2003 and EasyRPG games interpreter
...Libvorbis / Tremor for Ogg Vorbis audio support. opusfile for Opus audio support. libsndfile for better WAVE audio support. libxmp for better tracker music support. SpeexDSP for proper audio resampling. -
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PyAV
Pythonic bindings for FFmpeg's libraries
...PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. Overall, PyAV is a robust tool for developers building advanced video and audio processing systems in Python. -
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miniaudio
Audio playback and capture library written in C,
miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to... -
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Pedalboard
A Python library for audio
pedalboard is a Python library for working with audio: reading, writing, rendering, adding effects, and more. It supports the most popular audio file formats and a number of common audio effects out of the box and also allows the use of VST3® and Audio Unit formats for loading third-party software instruments and effects. pedalboard was built by Spotify’s Audio Intelligence Lab to enable using studio-quality audio effects from within Python and TensorFlow. Internally at Spotify, pedalboard... -
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C3D is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling.
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DeaDBeeF is a modular cross-platform audio player, which runs on GNU/Linux distributions, macOS, Windows, *BSD, OpenSolaris, other UNIX-like systems. DeaDBeeF plays a variety of audio formats, converts between them, lets you customize the UI in almost any way you want, and use many additional plugins which can extend it even more.
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Nyquist
Nyquist is a language for sound synthesis and music composition.
Nyquist is a language for sound synthesis and music composition. It is implemented in C and C++ and runs on Win32, OSX, and Linux. Nyquist combines a powerful functional programming style with efficient signal-processing primitives. Nyquist is also embedded as a scripting language in Audacity. -
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Hyperspectral data analysis in R
Handling and basic analysis of hyperspectral data in R
The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal. -
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Bootstrap.jl
Statistical bootstrapping library for Julia
Bootstrapping is a widely applicable technique for statistical estimation. -
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babyxrc
A portable ANSI C resource compiler to import images, audio, and text.
...Input is the raw binary resource data (.jpegs, .wavs etc) and a simple xml file which lists the files and the format in which they are to be output. It's very easy to maintain. To avoid users having to maintain a tool chain, a few basic transformations like resizing images or resampling audio files to match the rate required by the program are included. Output is clean, compileable ANSI C source which should be accepted by any C compiler. The Baby X resource compiler is portable, unlike the resource compilers which come packaged with monolithic IDEs. So it's far easier to maintain. -
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mlr
Machine Learning in R
R does not define a standardized interface for its machine-learning algorithms. Therefore, for any non-trivial experiments, you need to write lengthy, tedious, and error-prone wrappers to call the different algorithms and unify their respective output. {mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods,... -
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ISLR-python
An Introduction to Statistical Learning
...The project recreates tables, figures, and laboratory exercises originally presented in the book so that readers can explore the concepts using Python rather than the original R environment. The repository includes Jupyter notebooks demonstrating statistical learning methods such as linear regression, classification algorithms, resampling methods, and model evaluation techniques. These notebooks combine theoretical explanations with practical coding exercises that allow users to reproduce the analyses described in the book. The datasets used in the book are also included so that users can run experiments directly within the provided notebooks. By translating the statistical learning material into Python code, the repository makes the book’s concepts accessible to a wider community of Python users. -
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ensemble-verification-system
A software tool for verifying ensemble forecasts
The Ensemble Verification System (EVS) is designed to verify ensemble forecasts of hydrologic and hydrometeorological variables, such as temperature, precipitation, and streamflow, issued at discrete forecast locations (points or areas). -
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Imaging
High-quality image processing library for Go
...It is designed to work with Go’s standard image package while extending it with commonly needed operations such as resizing, cropping, rotating, and filtering. The library emphasizes correctness and image quality, using well-known resampling algorithms to produce consistent results. Its API is intentionally minimal and easy to use, making it suitable for both small utilities and larger applications. The project supports multiple image formats through Go’s image ecosystem without introducing unnecessary complexity. Overall, it serves as a practical toolkit for developers who need reliable image processing capabilities in Go applications. -
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Capture (Organelle)
Record/resample 24bit audio from almost any patch.
Capture is a mod for the Organelle (by Critter & Guitari) that adds (if activated) a true-stereo combination of smooth compressors and brickwall limiters (SuperCompress) + a recorder to the master output for resampling audio from almost any patch. It requires a latch pedal/footswitch to start/stop recording. Please check the Files section for details and instructions, see the Support section for more informations. -
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The SoX Resampler library
High quality, one-dimensional sample-rate conversion library
The SoX Resampler library `libsoxr' performs one-dimensional sample-rate conversion—it may be used, for example, to resample PCM-encoded audio. It aims to give fast and high quality results for any constant (rational or irrational) resampling ratio. Phase-response, preserved bandwidth, aliasing, and rejection level parameters are all configurable; alternatively, simple `preset' configurations may be selected. An experimental, variable-rate resampling mode of operation is also included. -
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...The main purpose is to "override" the LPF(s) inside of the DAC by upsampling (relatively) low sampling rate frequencies (44.1k, 48k), assuming the software can do it much more accurate. It should be noted that the component, allows to compare two main resampling techniques with the same parameters. The user interface is built to be intuitive and to allow to maximize the control and ability to adjust the parameters to the user's personal taste.
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TESTIMAGES
Testing images for scientific purposes
The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical patterns). Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.
